Kraken07.03.26
AI SCORE 8.5

Data Engineer - Data Platform (Remote)

$96K–$192K/year

About the Role

Join Kraken as a Data Engineer - Data Platform (Remote) and be part of a world-class team dedicated to unlocking the potential of crypto and blockchain technology. As a fully remote company, Krakenites work from over 70 countries, united by a mission to accelerate global adoption of crypto. In this role, you will design and build scalable data systems that are crucial for one of the fastest-growing companies in the cryptocurrency space.

What You'll Do

  • Build and maintain high-performance data pipelines that ensure the reliability and scalability of Kraken's data infrastructure.
  • Architect the future of Kraken’s data ecosystem, enabling teams across the company to access clean, consistent, and timely data.
  • Develop scalable and reliable data pipelines that collect, transform, load, and curate data from both internal and external systems.
  • Drive data systems to operate as near real-time as possible, ensuring high data quality and auditability.
  • Support the design and deployment of a distributed data store that will serve as the central source of truth across the organization.
  • Evaluate new technologies and build prototypes for continuous improvements in data engineering.
  • Collaborate with teams to develop self-service tools that help data consumers extract and analyze data from our massive internal data store.

Requirements

  • 5+ years of experience in data engineering, data warehousing, or software engineering.
  • Proficiency in data-lake and data-warehousing technologies, with experience in tools like Presto, Athena, and Glue.
  • Strong programming skills in Python and Scala; additional languages are a plus.
  • Experience building data pipelines and ETL processes using Airflow.
  • Excellent SQL and data manipulation skills, with familiarity in frameworks like Spark/PySpark.
  • Expertise in Apache Spark or similar Big Data technologies, with a proven track record of processing high volumes of data.
  • Experience with business requirements gathering for data sourcing.
  • Bonus: Familiarity with Kafka and other streaming technologies like Apache Flink.

Nice to Have

  • Experience in a remote work environment.
  • Knowledge of machine learning concepts and applications.
  • Familiarity with data governance and compliance standards.

What We Offer

  • Competitive salary ranging from $96,000 to $192,000 per year.
  • Fully remote work environment with flexible hours.
  • Opportunity to work with a diverse team of industry pioneers.
  • Access to cutting-edge technologies and tools.
  • Commitment to employee development and growth opportunities.
  • Inclusive company culture that celebrates diversity and equal opportunity.
Why This Job8.5 of 10

This Data Engineer role at Kraken offers an exciting opportunity to work remotely while building scalable data systems in the fast-paced crypto industry.

Salary Range
Required
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Optional
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Bonus
0/1

About Kraken

Discover exciting career opportunities at Kraken in 2026. Browse through a variety of remote, hybrid, and office roles tailored to your skills. Utilize powerful filters to refine your search, track your applications effortlessly, and gain valuable company insights. Find your ideal job at Kraken and take the next step in your career today, with the support you need to succeed in the evolving tech landscape.

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficiency in Python and SQL with hands-on experience in data manipulation and ETL processes, particularly in a cloud environment like AWS or GCP.

Strong understanding of data orchestration tools like Apache Airflow and real-time data processing with Kafka, demonstrating the ability to design and implement robust data pipelines.

A proactive problem-solver with a growth mindset, capable of navigating the fast-paced and evolving landscape of cryptocurrency data needs, while effectively managing remote collaboration.

Learning Resources

Data Engineering with Pythoncourse

Career Path

Data Engineer - Data Platform (Remote)(Now)Senior Data Engineer(1-2 years)Lead Data Engineer or Data Architect(3-5 years)

Market Overview

Market Size 2024
$30B
Annual Growth
12.5%
AI Adoption in Data Engineering
45%
Investment in Data Platforms
+60%
Labour Demand for Data Engineers
+25%
Avg Salary for Data Engineers
$120K

Skills & Requirements

Required
PythonScalaSQL
Growing in Demand
Machine Learning with PythonData Visualization (e.g., Tableau)Cloud Data Engineering (AWS, GCP)
Declining
Hadoop MapReduceCassandra

Domain Trends

Rise of Real-Time Data Processing
Real-time data processing is becoming critical, with 70% of organizations prioritizing real-time analytics to improve decision-making.
Increased Adoption of Cloud Data Warehousing
The cloud data warehousing market is expected to grow by 25% annually as companies move away from on-premise solutions for scalability and cost-efficiency.
Integration of AI in Data Engineering Workflows
45% of data engineering teams are now incorporating AI tools to automate data pipeline management and enhance data quality.

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